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Host Immune Response


We have used bulk RNA-seq of longitudinal blood samples in patients with suspected sepsis along woith NMF decomposition to define variation in the trajectories of host immune response. Employing transfer learning techniqes to explore this transcriptomic landscape in host responses across diverse infection contexts, we demonstrate shared celllar dynamics across public single-cell RNA-seq datasets in both sepsis and COVID-19.

You can explore all the novel and public RNA-seq datasets we use in this report at NeMO Analytics one gene at a time HERE, or via the transcriptome-wide expression patterns we dissected from bulk RNA-seq data HERE.

The collaborative team that generated this work was lead by Joshua Chenoweth.

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